Software Engineer II

About Sibros Technologies
*Who We Are*
Sibros is accelerating the future of SDV excellence with its Deep Connected Platform that orchestrates full vehicle software update management, vehicle analytics, and remote commands in one integrated system. Adaptable to any vehicle architecture, Sibros' platform meets stringent safety, security, and compliance standards, propelling OEMs to innovate new connected vehicle use cases across fleet management, predictive maintenance, data monetization, and beyond.

Learn more at

*Our Mission*
Our mission is to help our customers get the most value out of their connected devices.

Follow us on

LinkedIn | Youtube | Instagram

About The Role
Job Title: Software Engineer II

Experience: 3 - 6

At Sibros, we are building the foundational data infrastructure that powers the software-defined future of mobility. One of our most impactful products—
*Deep Logger
—enables
rich, scalable, and intelligent data collection from connected vehicles*
, unlocking insights that were previously inaccessible.

Our platform ingests
*high-frequency telemetry
, diagnostic signals, user behavior, and system health data from vehicles across the globe. We transform this into actionable intelligence through
real-time analytics
,
geofence-driven alerting
, and
predictive modeling
for use cases like
trip intelligence, fault detection, battery health
, and
driver safety*
.

We're looking for a
*Software Engineer II
, to help scale the backend systems that support Deep Logger's data pipeline—from
ingestion and streaming analytics to long-term storage and ML model integration*
. You'll play a key role in designing high-throughput, low-latency systems that operate reliably in production, even as data volumes scale to billions of events per day.

What You'll Do

• Understand the limitations of various cloud native/open sourced, streaming/data related solutions, and leverage them to build data driven applications such as trip processing, geofence alerting, vehicle components health prediction, etc.
• Develop and optimize streaming data pipelines using Apache Beam, Flink, and Google Cloud Dataflow.
• Collaborate closely with firmware engineers, frontend engineers and product owners to build highly scalable solutions that provide fleet insights.
• Wear multiple hats in a fast-paced startup environment, adapting to new challenges and responsibilities.
• Understand customer requirements and convert them into engineering ideas to build innovative real-time data applications.

What You Should Know

• Over 3+ years of experience in software engineering.
• Excellent understanding of computer science fundamentals, data structures, and algorithms.
• Strong track record in designing and implementing large scale distributed systems.
• Willingness to wear multiple hats and adapt to a fast-paced startup environment.
• Proficiency in writing production-grade code in GoLang or Java.
• Hands-on experience with Kubernetes, Lambda, and cloud-native services, preferably in Google Cloud or AWS environments.
• Experience in Apache Beam/Flink for building and deploying large-scale data processing applications.
• Passionate about the vision and mission of the company, and interested in solving challenging problems in the automotive IoT domain.

Preferred Qualifications

• Experience designing and building systems for large-scale IoT deployments, including data collection, processing, and analysis.
• Experience with streaming and batch processing models using open-source tools such as Apache Kafka, Flink, and Beam.
• Expertise in building cloud-native solutions using Google Cloud, AWS, or Azure.
• Experience in working with large scale time-series databases such as Apache Druid, Clickhouse.
• Experience in working with streaming processing open source tools such as Apache Kafka, Flink.

What We Offer

• Competitive compensation package with performance incentives.
• A dynamic work environment with a flat hierarchy and the opportunity for rapid career advancement.
• Collaborate with a dynamic team that's passionate about solving complex problems in the automotive IoT space.
• Access to continuous learning and development opportunities.
• Flexible working hours to accommodate different time zones.
• Comprehensive benefits package including health insurance and wellness programs.
• A culture that values innovation and promotes a work-life balance.

*Equal Opportunity Employer*
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

This job description provides a comprehensive outline designed to attract individuals experienced in inside sales and looking to advance their career in a dynamic and growing industry. Adjustments can be made based on the specific needs of your team and changes in business strategies.